This paper focuses on developing a fast and accurate 3D feature for use in object
recognition and pose estimation for rigid objects. More specifically, given a set of CAD …

We present an aspect-graph approach to 3D object recognition where the definition of an
aspect is motivated by its role in the subsequent recognition step. Specifically, we measure …

We present a systematic study on the recognition of 3D gestures using spatially convenient
input devices. Specifically, we examine the linear acceleration-sensing Nintendo Wii …

It is possible to associate a highly constrained subset of relative 6 DoF poses between two
3D shapes, as long as the local surface orientation, the normal vector, is available at every …

This paper presents a new approach for recognition of 3D objects that are represented as
3D point clouds. We introduce a new 3D shape descriptor called Intrinsic Shape Signature …

We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects
using a single monocular RGB camera based on temporally consistent, local color …

Most of the work on 3D object recognition from range data has used an alignment-
verification approach in which a specific 3D object is matched to an exact instance of the …

This paper proposes a novel 3D scene interpretation approach for robots in mobile
manipulation scenarios using a set of 3D point features (Fast Point Feature Histograms) and …

We propose a scalable, efficient and accurate approach to retrieve 3D models for objects in
the wild. Our contribution is twofold. We first present a 3D pose estimation approach for …

This paper explores the direct motion estimation problem assuming that video-rate depth
information is available, from either stereo cameras or other sensors. We use these depth …